AI Governance and Corporate Risk

## Programme overview
A practical framework for governing AI systems within an organisation, including responsibility structures, risk classification, vendor assessment, documentation, monitoring and incident management.

## Who should attend
Boards, senior management, legal, governance, risk, compliance, internal audit and technology teams.

## Recommended format
Half-day or full-day workshop. Programmes are available in English, Bahasa Malaysia or bilingually, and may be delivered physically, online or in hybrid format.

## Learning outcomes
- Develop an AI governance structure suitable for the organisation.
- Classify AI use cases by legal, operational and reputational risk.
- Apply vendor assessment questions to AI tools and service providers.
- Document AI decisions, reviews and approvals in an auditable way.
- Plan monitoring, incident response and continuous improvement.

## Indicative modules
- AI governance roles and committees
- Risk classification and approval workflows
- Vendor due diligence and procurement controls
- Documentation, audit trails and monitoring
- Incident management and governance review cycles

## Practical value
Participants leave with a working understanding of the relevant legal/technology risk area, practical checklists or workflows, and a clearer sense of when to escalate issues for legal, compliance or governance review.